Methods and systems for providing additional information and data in cooperation with a communication application

ABSTRACT

Systems and methods classify, organize, and retrieve data from a variety of applications based on entities associated with the data. A data classification module is further configured to operate in cooperation with a communications application. Upon receiving an incoming communication via the communication application, the data classification module is configured to receive the identifying information from the communication application. The data classification module is configured to utilize the identifying information to retrieve additional information and data associated with the remote user from the searchable repository. The additional information and data can include additional identity information for the remote user. The additional information and data can also include information to allow the user to discern the context of the incoming communication. The data classification module is configured to generate an interface to provide the retrieved information to the user of communication application.

FIELD

This invention relates generally to data classification systems, more particularly, to methods and systems for providing information to a requester.

DESCRIPTION OF THE RELATED ART

The amount of data available to information seekers has grown astronomically, whether as the result of the proliferation of information sources on the Internet, or as a result of private efforts to organize business information within a company, or any of a variety of other causes. As the amount of available data grows, so does the need to be able to categorize or label that data so that the data may be more efficiently searched and a user may determine the relevance of data to them.

For businesses and organizations, data from different applications is typically grouped together based on the data's relation to a person or entity with which business is conducted, such as a client. For example, a business may arrange the data from different applications under a folder for a particular client. However, in order to view the different data, a user must view the data in each separate application in order to determine the nature and subject of the data.

One type of application utilized by businesses and organizations is a communication application. These application allow the employees of the business to communicate with customers and clients. These applications typically consist of web-based chat applications, voice and video telephone application, and the like.

When an employee receives a communication via one of these application, the application typically receives some type of identity information from the initiator of the communication. For example, a incoming telephone call will include the telephone number of the initiator. However, the identity information is often limited and the information doesn't include any information regard the nature and context of the communication. Accordingly, there is a need in the art for a mechanism to allow users of a communication application to receive additional data about incoming communication.

BRIEF DESCRIPTION OF THE DRAWINGS

Various features of the embodiments can be more fully appreciated, as the same become better understood with reference to the following detailed description of an embodiment when considered in connection with the accompanying figures, in which:

FIG. 1 illustrates an exemplary system in accordance with an embodiment.

FIG. 2 illustrates an exemplary software environment in accordance with an embodiment.

FIG. 3 illustrates an exemplary data classification module in accordance with another embodiment.

FIGS. 4A-4C illustrates exemplary data structures in accordance with yet another embodiment.

FIG. 5 illustrates an exemplary interface in accordance with yet another embodiment.

FIGS. 6A-6B each illustrate an exemplary interface for displaying retrieved information in accordance with yet another embodiment.

FIG. 7 illustrates an exemplary process flow of a data classification module in accordance with another embodiment.

FIG. 8 illustrates an exemplary computer platform in accordance with another embodiment.

DETAILED DESCRIPTION OF EMBODIMENTS

For simplicity and illustrative purposes, the principles of the present invention are described by referring mainly to exemplary embodiments thereof. However, one of ordinary skill in the art would readily recognize that the same principles are equally applicable to, and can be implemented in, all types of computing systems, and that any such variations do not depart from the true spirit and scope of the present invention. Moreover, in the following detailed description, references are made to the accompanying figures, which illustrate specific embodiments. Electrical, mechanical, logical and structural changes may be made to the embodiments without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense and the scope of the present invention is defined by the appended claims and their equivalents.

Embodiments relate generally to systems and methods for classifying and organizing data from a variety of applications based on entities associated with the data. More particularly, a data classification module is configured to retrieve data from different applications. Each application can utilize data in a different format from other applications. The data classification module is configured to extract identifying information from the data, received from the applications. The identifying information includes information on entities and persons related to the data. For example, entities can be companies, corporations, associations, organization, and the like. Persons can be anyone related to the entities and the data such as employees of the entity.

The data classification module is configured to organize the identifying information into a data structure based on the entities associated with the data. After organization, the data classification module is configured to store the data structure in a searchable repository.

According to embodiments, the data classification module is further configured to operate in cooperation with a communications application. Upon receiving an incoming communication via the communication application, the data classification module is configured to receive the identifying information from the communication application.

The data classification module is configured to utilize the identifying information to retrieve additional information and data associated with the remote user from the searchable repository. The additional information and data can include additional identity information for the remote user. The additional information and data can also include information to allow the user to discern the context of the incoming communication. The data classification module is configured to generate an interface to provide the retrieved information to the user of communication application.

By cooperating with a communication application, the data classification module can efficiently and quickly provide additional identifying information about an initiator of an incoming communication. This allows a user to easily identify additional information about the communication such as the nature and context of the communication

FIG. 1 illustrates an exemplary system 100 in accordance with an embodiment. It should be readily apparent to those of ordinary skill in the art that system 100 depicted in FIG. 1 represents a generalized schematic illustration and that other components may be added or existing components may be removed or modified. Moreover, system 100 may be implemented using software components, hardware components, or combinations thereof.

As shown in FIG. 1, system 100 includes clients 105, a network 110 and a server 115. Client 105 is configured to provide users a platform for a software environment 120, such as described in FIG. 2. The users can be private individuals, employees of private business or public business or other persons interested in utilizing software environment 120 and accessing server 115. Client 105 can be implemented in personal computers, personal mobile devices, workstations or other networked computing platforms. While FIG. 1 illustrates three clients 105, those of ordinary skill in the art will realize that system 100 can include fewer or additional clients 105.

Network 110 can be a combination of wide area and local area networks such as the Internet. Network 110 can be configured to provide a communication channel between client 105 and server 115. Network 110 can implement a variety of network protocols to provide the communication channel such as Internet Protocol (“IP”) Vx, ATM, SONET, or other similar network protocols.

Server 115 is configured to provide a variety or services and functions to client 105. Server 115 can be configured to provide application services, database services, website services, and the like. For example, server 115 can be configured to support software environment 120 and a database 125. Server 115 can be implemented in server computers, mainframes, workstations or other networked computing platforms. While FIG. 1 illustrates one server 115, those of ordinary skill in the art will realize that system 100 can include additional servers 115.

According to embodiments, software environment 120 can include a data classification module 130. Data classification module 130 is configured to operate in cooperation with a communications application. Upon receiving an incoming communication via the communication application, data classification module 130 is configured to receive the identifying information from the communication application.

Data classification module 130 is configured to utilize the identifying information to retrieve additional information and data associated with the remote user. The additional information and data can include additional identity information for the remote user. The additional information and data can also include information to allow the user to discern the context of the incoming communication. Data classification module 130 is configured to generate an interface to provide the retrieved information to the user of the communication application.

FIG. 2 illustrates an exemplary software environment 120 in accordance with an embodiment. It should be readily apparent to those of ordinary skill in the at that software environment 120 depicted in FIG. 2 represents a generalized schematic illustration and that other components may be added or existing components may be removed or modified.

As shown in FIG. 2, software environment 120 can include an operating system 205. Operating system 205 can be a version of a Linux™, UNIX™, Windows™, or similar multi-tasking, multi-user operating system. A run-time environment (not shown) can be configured to execute on operating system 205. The run-time environment can provide a set of software that supports the execution of applications/programs. The run-time environment can also comprise an application program interface (“API”) 210 and a complementary API (not shown) within an application space 215. API 210 can be configured to provide a set of routines that application space 215 uses to request lower-level services performed by operating system 205. Operating system 205 can include a kernel (not shown). The kernel can be configured to provide secure access to the underlying hardware of a processor.

Application space 215 can represent the space where a user can execute applications given the allotted memory space as determined by a system administrator of software environment 120. Within application space 215, a user can open and execute a number of applications 220. Applications 220 that can be executed within application space 215 can be a wide variety from databases, electronic mail, customer relationship management programs, utilities, browsers, multi-media application, word processing applications, spreadsheet applications, etc. Each of applications 220 has data objects, such as a native file and/or document format, that is associated with the respective application. For example, Microsoft Word™ has default document format, a Word document. Similarly, Adobe™ has a default document type “.pdf” file, as another example.

Software environment 120 can further include a data classification module 130. Data classification module 130 can be configured to retrieve data from application 220. The data from each application 220 can be data objects that include any type of information (e.g., an email, email thread, forum, a website, a text file, an image or a Word document), each data object having a respective application 220 (browser, electronic mail, spreadsheet, content repository, etc.) The data object can also include abstract concepts such as events, projects, dates, places, and the like.

Data classification module 130 can be configured to extract identifying information from the data received from applications 220. The identifying information includes information on entities and persons related to the data. For example, entities can be companies, corporations, associations, organization, and the like. Person can be any one related to the entity or the data such as an employ of the entity.

Data classification module 130 organizes the identifying information into a data structure based on the entities associated with the data. After organization, data classification module 130 can be configured to store the data structure in a searchable repository, such as database 125. In particular, data classification module 130 stores the identifying information such that data from different applications 220 can be located by searching for an entity or person related to the data. According to embodiments, data classification module 130 is rather configured to retrieve stored information from the repository.

Within application space 215, a user can open and execute a communication applications 230. Communication application 230 can be any type of application that is configured to provide communication services to client 105. For example, communication application 230 can be a chat application, voice or video telephone application, and the like. As such, communication application 230 is configured to provide a communication interface to allow the user to communicate with remote users. The communication interface provides a portal for the user to communicate remotely with other users.

When receiving incoming communications from remote users, communication application 230 receives identifying information that is associated with the remote users communicating with the user via communication application 230. For example, if communication application 230 is a chat application, communication application 230 typically receives a user ID and name from the remote users communicating with the user. Likewise, if communication application 230 is a telephone application, communication application 230 typically receives a telephone number from the remote users communicating with the user.

According to embodiments, data classification module 130 is further configured to operate in cooperation with communications application 230. Upon receiving an incoming communication via communication application 230, data classification module 130 is configured to receive the identifying information from the communication application 230.

Data classification module 130 is configured to utilize the identifying information to retrieve additional information and data associated with the remote user. The additional information and data can include additional identity information for the remote user. The additional information and data can also include information to allow the user to discern the context of the incoming communication. Data classification module 130 is configured to generate an interface to provide the retrieved information to the user of communication application 230.

FIG. 3 depicts a more detailed block diagram 360 of data classification module 130 in accordance with another embodiment. It should be readily apparent to those of ordinary skill in the art that the diagram depicted in FIG. 3 represents a generalized schematic illustration and that other components may be added or existing components may be removed or modified.

As shown in FIG. 3, data classification module 130 can comprise a translation engine 305, an application interface 310, a database interface 315, and a search engine 320. Modules 305-320 of data classification module 130 can be implemented as software components, hardware components or combinations thereof. More particularly, modules 305-320 can be implemented using conventional programming languages (e.g., Pascal, FORTRAN, etc.), objected oriented programming languages (e.g., C++), Java, PHP, Perl, XML or other similar languages. Modules 305-320 can also be implemented as hardware components such as an application specific integrated circuit, a programmable read-only memory, an EEPROM, a microcontroller, a microprocessor or other similar computing platform.

Data classification module 130 can be coupled to a database 325. Database 325 can be implemented utilizing any type of conventional database architecture using open source technologies, proprietary technologies, or combinations thereof.

Translation engine 305 can be configured to manage modules 310-320 to provide the functionality of data classification module 130 as previously described and firer described herein below. In particular, translation engine 305 is configured to receive data from different applications 220. The data received from the different applications can be in it respective native or default data format. For example, data received from an email application can be in the format for an email message or email thread. In another example, data received from a word processing application can be in the format of a word processing file.

In order to receive data from applications 220, translation engine 305 can be coupled to application interface 310. Application interface 310 can be configured to interface to different applications, such as applications 220, in order to retrieve data from the applications. Application interface 310 can be configured to retrieve data from applications 220 each time new data is entered into or created in application 220.

Likewise, application interface 310 can be configured to retrieve data from application 220 in response from a request from a user of software environment 120. For example, a menu icon that is linked to application interface 310 can be configured to be installed with applications 220. In some instances, applications 220 can be open source applications, which allow these configuration/installation modifications. If applications 220 are proprietary applications, i.e., not open source, applications 220 can permit the same configuration/installation modification depending on their published application program interfaces. When the menu icon is activated, application interface 310 can retrieve data from the activating application.

Translation engine 305 is configured to extract identifying information from the data received from applications 220. The identifying information can be the type of application the data was retrieved from, the subject of the data, a reference to the data, an entity associated with the data, and a person related to the entity and associated with the data and the like.

In order to extract identifying information from the application data, translation engine 305 can include rules for extracting identifying information from data received from each application 220. In particular, for each application 220, translation engine 305 can include a rule that sets forth the identifying information for data received from that application. For example, for data received from an email application, the rule can be that the identifying information includes the type email application, all recipients and senders of the email, and the subject of the email.

Translation engine 305 can extract the identifying information from the data itself or from meta data. For example, most data generated by applications include meta data. The meta data typically describes the property of the data such as application type, description of the data, creator of the data, and the like. Translation engine 305 can include a list of meta data included in data from different applications 220. Translation engine 305 can utilize the list in order to identify meta data in received data from applications 220.

The rules can further include how to extract the identifying information from the data. For example, for an email application, the rule can define that the type of application can be extracted from the meta data, the recipients and senders can be extracted from the “to,” “from,” and “cc” fields, and the description can be extracted from the “subject” field. As such, translation engine 305 can parse the data from application 220 in order to extract the identifying information.

After extracting the identifying information, data classification module 130 organizes the identifying information into a searchable data structure. To achieve this, translation engine 305 can be coupled to a database interface 315. Database interface 315 can organize the identifying information into a searchable data structure based on entities and persons associated with the entity. Database interface 315 can then store the organized identifying information in a searchable repository such as database 325.

Database interface 315 utilizes a hierarchical relational structure 400 based on an entity and person associated with the entity to organize the identifying information, as shown in FIG. 4A. It should be readily apparent to those of ordinary skill in the art that the diagram depicted in FIG. 4A represents a generalized schematic illustration and that other components may be added or existing components may be removed or modified.

As illustrated in FIG. 4A, structure 400 includes records for entities, person related to the entity, and data related to the entity. Structure 400 can include an entity record 405, a department record 410, employee record 415, and data record 420.

Entity record 405 includes fields that identify and describe an entity. For example, entity record 405 can include an entity name field 425, a description field 430, a department field 435, and employees field 440. Entity name field 425 can be filled with information that identifies the entity such as the legal name of the entity. Description field 430 can be filled with information that describes the entity such as the address, phone number, and business type. Department field 435 can be filled with the various department or sections of the entity. Employee field 440 can be filled with the various employees of the entity. Although FIG. 4A illustrates only one entity record 405, it should be readily apparent to those of ordinary skill in the art that structure 400 can include any number of entity records 405 for each entity.

Department record 410 can include an employee field 445. Employee field 405 can be filled with employees of the entity that belong to the particular department. Although FIG. 4A illustrates only one department record 410, it should be readily apparent to those of ordinary skill in the art that structure 400 can include any number of department records 410 for each department of the entity.

Employee record 415 can include an employee information field 450. Employee information field 450 can be filled with details of the employee such as name, title, phone number, email address, instant message “IM” handle, physical address, and the like. Although FIG. 4A illustrates only one employee record 415, it should be readily apparent to those of ordinary skill in the art that structure 400 can include any number of employee records 415 for each employee of the entity.

Data record 420 can include information that identifies data received from applications. Data record 420 can include a data type field 455, an application type field 460, a description field 465, reference field 470, and associations field 475. Data type field 455 can be filled with information that describes the type of data the record identifies, such as email message, word processing file, invoice, and the like.

Application type field 460 can be filled with information that identifies the application associated with the data, such as email application, word processing application, financial application, and the like. Reference field 470 can be filled with a information identifying a storage location of the data such as a link to the data. Associations field 475 can be filled with information identifying employees, departments, and entities associated with the data. Although FIG. 4A illustrates only one data record 420, it should be readily apparent to those of ordinary skill in the art that structure 400 can include any number of data records 420 for each data item received from an application.

Structure 400 illustrated in FIG. 4A shows the relation of the identifying information for received data to a particular entity. Database interface 315 can also be configured to generate a data structure that references all entities and all persons associated with the entities. This data structure can be utilized during searching.

FIG. 4B show an exemplary structure 480 that references all entities and persons. It should be readily apparent to those of ordinary skill in the art that the diagram depicted in FIG. 4B represents a generalized schematic illustration and that other components may be added or existing components may be removed or modified.

As illustrated in FIG. 4B, structure 480 can include entity listing record 485 and persons listing record 490. Structure 480 can aid with searching by allowing data classification module 130 to search by the name of an entity or a person and locate records associated with the entity or person.

Entity listing record 485 can include an entity name fields 492 and record number fields 494. Entity name fields 492 can be filled with the names of entities for which records 405 exist. Record number fields 494 can be filled with an identifier, such as record number, that identifies the record associated with each entity name.

Persons listing record 490 can include person name fields 496 and entity association fields 498. Person name fields 496 can be filled with the names of persons, such as employees of the entities, that have been identified in structure 400. Entity association fields 498 can be filed with an entity with which the named persons are associated.

Prior to storing information in data structure 400, record entry 405 in the hierarchy must be generated for different entities. Record entry 405 for each entity can be generated by designating one application 220 as a master application. Typically, this master application would have all the data required for record 405. For example, a financial application can be designated as the master application. Since the financial application typically includes information about all entities, the financial application would include most information in record 405.

Each time the master application receives information about a new entity from a user, a new record 405 can be created for the new entity. The new record 405 can be populated with the data entered in the master application.

In addition to designating a master application, application interface can be configured to generate a graphical user interface, (“GUI”) such as dialog boxes, web pages and the like in order to create a new record 405. The GUI can include field for entering information about the new entity such as name of the entity, address, telephone number, contact person, and the like. FIG. 5 illustrates an exemplary GUI 500 for creating a new record 405. It should be readily apparent to those of ordinary skill in the art that the diagram 500 depicted in FIG. 5 represents a generalized schematic illustration and that other components may be added or existing components can be removed or modified.

As illustrated, GUI 500 can includes an entity name text field 505, an address text field 510, telephone number text field 515, a business description text field 520, and confirmation buttons 525. A user can enter the identity of the entity in text field 505, the address of the entity in text field 510, the telephone number of the entity in text field 515, and description of the entity in text field 520.

Once the user has entered the information in text fields 505-520, the user can transmit the identifying information to data classification module 130 by selecting the “OK” button of confirmation buttons 525. The user can also cancel the request by selecting the “Cancel” button of the confirmation buttons 525.

After a record 405 has been created, data classification module 130 can begin receiving data associated with the entity identified in record 405. FIG. 4C illustrates an exemplary structure 499 in which the records 405-420 have been filled with identifying information.

As illustrated, entity record 405 can be created and filled with information for an entity named “XYZ Corp.” Entity record 405 can be created an filled by a master application or by a GUI such as GUI 500. Also, department records 410 and employees records 415 can be created and filled with information for the entity “XYZ Corp.” Department records 410 and employees records 415 can be created an filled by the master application or by a GUI such as GUI 500.

Also, as illustrated in FIG. 4C, record 420 can created and can be filled with data from an email application such as Outlook. For example, a user of another entity “ABC corp” can be operating an application 220, such as Outlook. Application 220 can receive an email from “Jane Smith” at “XYZ Corp” with the subject “Support for client ABC Corp.” The email can be regarding a technical support issue at “ABC Corp” that “XYZ Corp” is servicing. Once application 220 receives the email, a request can automatically be sent to data classification engine 130 to retrieve the email and classify the email. Likewise, the request can be initiated by the user.

After receiving the request, translation engine 305 can extract the identifying information from the email in order to fill record 420. For example, translation engine 305 can extract, from the email, the type of email program from the meta data; the sender of the email, “Jane Smith,” from the senders email address; the entity, “XYZ Corp,” associated with the sender from the senders email address; and a storage location, “//mail.xyzcorp.com/user,” from the meta data.

After extracting the identifying information, database interface 315 can create record 420 and fill record 420 with the extracted information. For example, data type field 455 can be filled “email message”; application type field 460 can be filled “Outlook,” the email application receiving the email; reference field 470 can be filled “//mail.abccorp.com/user,” the mail server for “ABC Corp” where the email is stored; and associations field 475 can be filled with “Jane Smith” and “Support”. Database interface 315 can then store record 420 in database 325 linked to records 405, 410, and 415.

Returning to FIG. 3, data classification module 130 can include a search engine 320. Search engine 320 can be an independent module 320 or be part of database 325 in some embodiments. Search engine 320 can be configured to receive a query from translation engine 305 that includes search topics related to any fields and records included in data structures stored in database 325, such as data structures 400 and 480 illustrated in FIGS. 4A and 4B.

According to embodiments, data classification module 130 is further configured to operate in cooperation with communications application 230. As mentioned above, communication application 230 can be any type of application that is configured to provide communication services to client 105. For example, communication application 230 can be a chat application, voice or video telephone application, and the like. As such, communication application 230 is configured to provide a communication interface to allow the user to communicate with remote users. The communication interface provides a portal for the user to communicate remotely with other users.

Upon receiving an incoming communication via communication application 230, data classification module 130 is configured to receive the identifying information from communication application 230. In particular, application interface 310 can be configured to receive the identifying information from communication application 230. The identifying information can be any type of information that identifies a remote user. For example, if communication application 230 is a chat application, communication application 230 typically receives a user ID and name from the remote users communicating with the user. Likewise, if communication application 230 is a telephone application, communication application 230 typically receives a telephone number from the remote users communicating with the user.

Data classification module 230 is configured to utilize the identifying information to retrieve additional information and data associated with the remote user. In particular, translation engine 305 is configured to receive the identifying information from application interface 310. Translation engine 305 is configured to generate a search request based on the identifying information. For example, if the identifying information is a telephone number, translation engine 305 can generate a search request with the telephone number.

Translation engine 305 is also configured to generate the search request based on configuration parameters previously established by the user. For example, translation engine 305 can be configured to search and receive only select information and data from database 325.

Translation engine 305 is configured to pass the search request to search engine 320. Search engine 320 is configured to search database 325 utilizing the search request. Search engine 320 can be configured to receive the request from translation engine 305.

The request can include search topics related to any fields and records included in data structures stored in database 325, such as data structures 400 and 480 illustrated in FIGS. 4A and 4B. For example, if the request includes a telephone number, search engine 320 can search records 405 and 415 to identify entities and persons associated with the telephone number. Further, search engine 320 can locate records 420 that include data associated with the entities and persons.

Once search engine 320 determines search results, translation engine 305 is configured to retrieve information and data located in the search. Translation engine 305 can be configured to retrieve the information via database interface 315. The information and data retrieved can be any type of information and data stored in database 325. The information and data retrieved can be based on configuration parameters previously established by the user.

For example, if the identifying information is a telephone number, translation engine 305 can be configured to retrieve entity information associated with the telephone number and persons associated with the telephone number. Additionally translation engine 305 can be configured to retrieve data associated with the telephone number in database 305. Once an entity or person is identified, translation engine 305 can be configured to retrieve data stored in records 420.

Data classification module 130 is configured to generate an interface to provide the retrieved information to the user of communication application 230. In particular, translation engine 305 can pass the retrieve additional information and data to application interface 310 to generate the interface. Application interface 310 can be configured to generate interfaces that include text fields and widgets to display the retrieve information. Application interface 310 can generate the interface based on configuration parameters established by the user.

FIG. 6A shows an exemplary interface 600 for providing the additional information and data to the user. Interface 600 shows receiving a request for additional information and data from database 325 from a voice or video telephone application. One of skilled in the are will realize that interface 600 is exemplary and can be utilized with other communication applications 230. Additionally, one skilled in the art will realize that interface 600 can be modified to include additional components.

As illustrated, interface 600 includes an identity text fields 602 and data text fields 604. Identity text fields 602 are configured to include identity information about the remote user. The identity information can be received from communication application 230. Likewise, the identity information can be retrieved from database 325.

Identity text fields 602 include a phone number text field 606, a name text field 608, an entity text field 610, and a title text field 612. Phone number text field 606 can be populated with the telephone number received from communication application 230. Name text field 608, entity text field 610, and title text field 612 can be populated with information from database 325.

Data text fields 604 can be configured to provide application data retrieved from database 325 associated with entities and persons retrieved from database 325. Data text fields 604 include a support text field 614 and a calender text field 616. Support text field 614 and calender text field 616 is configured to display data from a technical support applications and calender applications, respectively. Support text field 614 and calender text field 616 can be populated with data retrieved from database 325. In particular, support text field 614 and calender text field 616 can be populated with data from records 420 associated with entities and persons related to the received telephone number.

Data text fields 604 can also be configured to be interactive by including a link to the data. As such, a user can select the data provided in data text field 604. In response, data classification module 130 can be configured to send a command to the application associated with the data displayed in data text fields 604. The command can launch the application to display the data from data text fields 604.

As mentioned above, data classification module 130 can be configured to retrieve additional information and data based on configuration parameters. For example, in interface 600, data text fields 604 can be modified to include different text field in order to display information from different data stored in database 325. To receive configuration parameters, application interface 310 can be configured to generate an configuration interface. The configuration interface can be configured to allow a user to enter parameters for searching and retrieving additional information from database 325. For example, the user can select different types of data to include in interface 600. Application interface 310 can generate the configuration interface based on a request from communication application 230.

FIG. 6B shows an exemplary configuration interface 650. As shown, interface 650 includes selection widgets 655, date text fields 660, and confirmation buttons 665. One of skilled in the are will realize that interface 650 can be modified to include additional components.

Selection widgets 655 can be configured to allow the user to select which applications to search database 325 for data related to the remote user. As shown, selection widgets 655 can be associated with four applications: a calender application, support application, email application, and word processing application. Interface 650 can be configured to include any number of widgets 655 depending on the applications for which data is stored in database 325.

Date text field 660 can be configured to allow the user to select a date range for data. The user can enter a date range in fields 660 and, in response, translation engine 305 can be configured to limit the search request of database 325 to the entered date range.

Once the configuration parameters has been entered, confirmation button 665 can be configure to allow the user to accept the configuration parameters or discard the configuration parameters and close configuration interface 650.

FIG. 7 depicts an exemplary data classification flow diagram 700 implemented by data classification module 130 in accordance with another embodiment. It should be readily apparent to those of ordinary skill in the art that the flow diagram 700 depicted in FIG. 7 represents a generalized schematic illustration and that other steps may be added or existing steps may be removed or modified.

As shown in FIG. 7, data classification module 130 can be configured to receive a request from an application 230 to provide additional information and data about a remote user, in step 705. The request from application 230 can include various identity information depending on application 230. For example, if communication application 230 is a chat application, communication application 230 typically receives a user ID and name from the remote users communicating with the user. Likewise, if communication application 230 is a telephone application, communication application 230 typically receives a telephone number from the remote users communicating with the user.

Then, data classification module 130 determines the additional information and data based on the request, in step 710. Specifically, translation engine 305 is configured to direct search engine 320 to search database 325 based on the request.

After determining the information, data classification module 130 retrieve the additional information and data from the database, in step 715. Specifically, translation engine 305 can direct database interface 315 to retrieve the additional information and data from database 325.

Then, data classification module 130 generates an interface to provide the additional information and data to the user, in step 720. Specifically, translation engine 305 can provide the retrieved information to application interface 310. Application interface 310 can generate an interface to display the information to the requester. The interface can be a user interface as illustrated in FIG. 6A. After generating the interface, data classification module 130 provides the interface to the user, in step 725.

FIG. 8 illustrates an exemplary block diagram of a computing platform 800 where an embodiment may be practiced. The functions of the data classification module 130 can be implemented in program code and executed by computing platform 800. Data classification module 130 can be implemented in computer languages such as PASCAL, C, C++, JAVA, etc.

As shown in FIG. 8, computing platform 800 includes one or more processors, such as processor 802 that provide an execution platform for embodiments of data classification module 130. Commands and data from processor 802 are communicated over a communication bus 804. Computing platform 800 also includes a main memory 806, such as a Random Access Memory (RAM), where data classification module 130 can be executed during runtime, and a secondary memory 808. Secondary memory 808 includes, for example, a hard disk drive 810 and/or a removable storage drive 812, representing a floppy diskette drive, a magnetic tape drive, a compact disk drive, etc., where a copy of a computer program embodiment for data classification module 130 can be stored. Removable storage drive 812 reads from and/or writes to a removable storage unit 814 in a well-known manner. A user interfaces with the data classification module 130 with a keyboard 816, a mouse 818, and a display 820. Display adapter 822 interfaces with the communication bus 804 and display 820. Display adapter 822 also receives display data from processor 802 and converts the display data into display commands for display 820.

Certain embodiments may be performed as a computer program. The computer program may exist in a variety of forms both active and inactive. For example, the computer program can exist as software program(s) comprised of program instructions in source code, object code, executable code or other formats; firmware program(s); or hardware description language (HDL) files. Any of the above can be embodied on a computer readable medium, which include storage devices and signals, in compressed or uncompressed form. Exemplary computer readable storage devices include conventional computer system RAM (random access memory), ROM (read-only memory), EPROM (erasable, programmable ROM), EEPROM (electrically erasable, programmable ROM), and magnetic or optical disks or tapes. Exemplary computer readable signals, whether modulated using a carrier or not, are signals that a computer system hosting or running the present invention can be configured to access, including signals downloaded through the Internet or other networks. Concrete examples of the foregoing include distribution of executable software program(s) of the computer program on a CD-ROM or via Internet download. In a sense, the Internet itself, as an abstract entity, is a computer readable medium. The same is true of computer networks in general.

While the invention has been described with reference to the exemplary embodiments thereof, those skilled in the art will be able to make various modifications to the described embodiments without departing from the true spirit and scope. The terms and descriptions used herein are set forth by way of illustration only and are not meant as limitations. In particular, although the method has been described by examples, the steps of the method may be performed in a different order than illustrated or simultaneously. Those skilled in the art will recognize that these and other variations are possible within the spirit and scope as defined in the following claims and their equivalents. 

1. A method of providing information, the method comprising: receiving a request, from a communication application, for information stored in a repository, the request comprising identity information for at least one of an entity and a person associated with the entity, wherein the identity information was received in an incoming communication by the communication application; searching the repository based on the request, wherein the repository stores information in a hierarchical data structure related to stored entities, the hierarchical data structure comprising records containing stored identities of the entities, stored persons related to the stored entities, and stored data related to the stored entities; retrieving first records from the repository that matches the request; and providing stored information from the first records in an interface, wherein the stored information comprises additional identity information for the at least one of the entity and the person.
 2. The method of claim 1, further comprising: retrieving second records containing stored data from the repository related the first records; and providing the stored data in the interface.
 3. The method of claim 2, further comprising: wherein the stored data includes a link to other data referenced by the stored data, wherein the link is configured to cause an execution of an application associated with the other data.
 4. The method of claim 1, wherein the identity information comprises a telephone number.
 5. The method of claim 4, wherein the first records include stored information for at least one of the entity or person associated with the telephone number.
 6. The method of claim 1, wherein the request is generated by the communication application and wherein the communication application generates the request in response to the incoming communication.
 7. The method of claim 1, wherein searching the repository based on the request, comprises: determining the first records that matches the identity information of at least one of the entity and the person.
 8. The method of claim 2, wherein searching the repository based on the request, comprises: determining the second records that are related to the first records.
 9. An apparatus for providing information, the apparatus comprising: an application interface configured to couple with a communication application and configured to receive a request from the communication application for information stored in a repository, the request comprising identity information for at least one of an entity and a person associated with the entity; a searchable repository configured to store information in a hierarchical data structure related to stored entities, the hierarchical data structure comprising records containing stored identities of the entities, stored persons related to the stored entities, and stored data related to the stored entities; a search engine configured to couple to the repository and configured to search the repository based on the request; and a translation engine configured to couple with the application interface, the search engine, and the searchable repository, wherein the translation engine is configured to retrieve first records from the repository that matches the request, wherein the application interface is further configured to provide stored information from the first records in an interface and wherein the stored information comprises additional identity information for the at least one of the entity and the person.
 10. The apparatus of claim 9, wherein the translation engine is further configured to retrieve second records containing stored data from the repository related the first records and the application interface is further configured to provide the stored data in the interface.
 11. The apparatus of claim 9, wherein the stored data includes a link to other data referenced by the stored data and wherein the application interface is configured to cause an execution of an application associated with the other data in response to a selection of the link.
 12. The apparatus of claim 9, wherein the communication application generates the request in response to an incoming communication.
 13. The apparatus of claim 9, wherein the search engine is further configured to determine the first records that matches the identity information of at least one of the entity and the person.
 14. The apparatus of claim 10, wherein the search engine is further configured to determine the second records that are related to the first records.
 15. A system for classifying data, the system comprising: a server configured to store and execute a communication application for receiving a incoming communication, wherein each user is configured to be assigned a respective application space to execute the plurality of applications and each application of the plurality; a searchable repository configured to be accessible to the plurality of users and configured to store information in a hierarchical data structure related to stored entities, the hierarchical data structure comprising records containing stored identities of the entities, stored persons related to the stored entities, and stored data related to the stored entities; and a client coupled to the searchable repository, wherein the client configured to store and execute a communication application for receiving a incoming communication and generate a request for information, and wherein the client is configured store and execute a data classification module, the data classification module is configured to the receive a request for information stored in the repository, the request comprising identity information for at least one of an entity and a person associated with the entity; to search the repository based on the request, wherein the repository stores information in a hierarchical data structure related to stored entities, the hierarchical data structure comprising records containing stored identities of the entities, stored persons related to the stored entities, and stored data related to the stored entities; to retrieve first records from the repository that matches the request; and to provide stored information from the first records in an interface, wherein the stored information comprises additional identity information for the at least one of the entity and the person.
 16. The system of claim 15, wherein the data classification module is further configured to retrieve second records containing stored data from the repository related the first records; and to provide the stored data in the interface.
 17. The system of claim 15, wherein the stored data includes a link to other data referenced by the stored data and wherein the data classification module is configured to cause an execution of an application associated with the other data in response to a selection of the link.
 18. The system of claim 15, wherein the data classification module is further configured to determine the first records that matches the identity information of at least one of the entity and the person.
 19. The system of claim 16, wherein the data classification module is further configured to determine the second records that are related to the first records. 